• 제목/요약/키워드: Boundary Decision

검색결과 210건 처리시간 0.028초

밀도에 기반한 펴지 서포트 벡터 머신을 이용한 멀티 카데고리에서의 패턴 분류 (Density based Fuzzy Support Vector Machines for multicategory Pattern Classification)

  • 박종훈;최병인;이정훈
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2006년도 추계학술대회 학술발표 논문집 제16권 제2호
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    • pp.251-254
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    • 2006
  • 본 논문은 multiclass 문제에서 기존에 나와 있는 fuzzy support vector mahchines 이 decision boundary 를 설정하는데 있어 모든 훈련 데이터에 대해서 바람직한 decision boundary 를 만들지 못하므로 그러한 경우를 예로 제시한다. 그리고 그에 대한 개선점으로 밀도를 이용해 decision boundary 를 조정하여 기존 FSVM 의 decision boundary 보다 더 타당한 decision boundary 를 설정하는 것을 보인다.

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결정경계 수직벡터의 해석적 계산을 통한 신경망 결정경계 특징추출 알고리즘의 성능 개선 (Improving the Performance of Decision Boundary Feature Extraction for Neural Networks by Calculating Normal Vector of Decision Boundary Analytically)

  • 고진욱;이철희
    • 전자공학회논문지CI
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    • 제39권3호
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    • pp.44-52
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    • 2002
  • 본 논문에서는 결정경계(decision boundary)를 이용한 신경망의 특징추출을 해석적으로 구현할 수 있는 방법을 제안한다. 최근 발표된 신경망의 결정경계 기반의 특징추출 방법은 기존의 특징추출 방법보다 우수한 성능을 보여 주었다. 이러한 결정경계 특징추출 방법은 패턴 분류기(pattern classifier)의 결정경계에 수직한 벡터가 패턴 클래스(class)간을 분류하는데 유용한 정보를 포함한다는 사실을 기반으로 원래의 데이터로부터 분류에 필요한 정보들만을 추출하게 된다. 그러나 기존의 결정경계 특징추출 알고리즘은 신경망 결정경계의 수직벡터를 구하기 위해 결정경계의 변화율(gradient) 근사 방법을 사용하였다. 그 결과 결정경계 수직벡터가 부정확하게 계산될 가능성이 있고 계산 시간이 길어지는 문제점이 존재한다. 본 논문에서는 이러한 문제점을 해결하기 위해 수직벡터를 하나의 방정식으로부터 해석적으로 계산하는 방법을 제안한다. 제안된 방법을 원격탐사 데이터의 패턴분류에 적용하여 그 성능을 확인한 결과 특징추출에 필요한 연산 시간을 대폭 줄일 수 있고 또한 더 향상된 특징추출 성능을 얻음을 확인하였다.

GIS 기반의 해양경계획정 지원시스템 개발에 관한 연구 (Study on Development of GIS based Maritime Boundary Delimitation Support System)

  • 이동철;김계현;박용길
    • 한국해양공학회지
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    • 제26권4호
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    • pp.23-29
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    • 2012
  • Korea has maritime jurisdiction over an area 4.5 times larger than the nation's inland area, but negotiations with surrounding nations on the maritime boundary delimitation have still not been completed satisfactorily. In particular, maritime boundary delimitation has become an important issue in terms of maritime security and resource exploration. Considering national interests, the delimitation of the maritime boundary is essential. However, no system to help the decision-makers involved in maritime boundary delimitation has yet been systematically constructed. Therefore, the aim of this study was the development of a system to support such decision-making. In this study, considerations related to maritime boundary delimitation were investigated through expert advice and international precedents. Based on these considerations, data were collected from several organizations, and a spatial database was systematically constructed. Finally, MBDSS (maritime boundary delimitation support system) was developed to support maritime boundary delimitation. This GIS-based system provides visual information about the considerations for the maritime boundary delimitation. Thus, it could help decision-makers to choose appropriate boundaries during the negotiation. Furthermore, this system is expected to be utilized as a scientific tool on the delimitation of maritime boundaries.

방위각 변화율을 이용한 방호용레이다 위협 판단 알고리즘 (Threat Decision Algorithm of Missile Warning Radar Using Azimuth Angular Rate)

  • 하종수
    • 한국군사과학기술학회지
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    • 제11권1호
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    • pp.93-101
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    • 2008
  • It is difficult for a MWR(Missile Warning Radar) to perform a threat decision accurately since there is no tracking part which gives more accurate threat information to the MWR. In this paper, the threat decision algorithm is proposed using an azimuth angular rate to improve the accuracy. The azimuth angular rate is dependent upon the direction of an approaching target. The target is classified into a threat or non-threat using a boundary condition of the azimuth angular rate. The boundary condition is determined using the Monte-Carlo simulation. The performance of the proposed algorithm is evaluated using this condition at field tests of MWR. The efficiency of the proposed method for the threat decision is proved by comparing the results of field tests with the simulation results.

회전결정 경계를 이용한 32-QAM 목조용 반송파 복구와 채널등화의 Joint 알고리즘 (A Rotational Decision-Directed Joint Algorithm of Blind Equalization Coupled with Carrier Recovery for 32-QAM Demodulation)

  • 송진호;황유모
    • 대한전기학회논문지:시스템및제어부문D
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    • 제51권2호
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    • pp.78-85
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    • 2002
  • We introduce a rotational decision-directed joint algorithm of blind equalization coupled with carrier recovery for 32-QAM demodulation with high symbol rate. The proposed carrier recovery, which we call a rotational decision-directed carrier recovery(RDDCR), removes the residual phase difference by rotating the decision boundary for the kth received symbol by the frequency detector output of the (k-1)th received symbol. Since the RDDCR includes the function of PLL loop filter by rotating the decision boundary, it gives a simpler demodulator structure. The rotational decision-directed blind equalization(RDDBE) with the rotated decision boundary based on the Stop-and-Go Algorithm(SGA) operated during tracking the frequency offset by the RDDCR and removes intersymbol interference due to multipaths and channel noise. Test results show that symbol error rate of $10^{-3}$ is obtained before the forward error correction when SNR equals 15dB with 150KHz of carrier frequency offset and two multipaths, which is the channel condition for 32-QAM receiver.

신경망을 위한 해석적 결정경계 특징추출 알고리즘 (Analytical Decision Boundary Feature Extraction for Neural Networks)

  • 고진욱;이철희
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 하계종합학술대회 논문집(3)
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    • pp.177-180
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    • 2000
  • Recently, a feature extraction method based on decision boundary has been proposed for neural networks. The method is based on the fact that all the features necessary to achieve the same classification accuracy as in the original space can be obtained from the vectors normal to decision boundaries. However, the normal vector was estimated numerically. resulting in inaccurate estimation and a long computational time. In this paper. we propose a new method to calculate the normal vector analytically. Experiments show that the proposed method provides a better performance.

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다요소의사결정법에 의한 농촌마을담장정비의 기본방향 (Basic Renewal Directions of Boundary Barriers in Rural Villages by Multi-attribute Decision Making)

  • 임종현;최수명;양소열;조은정
    • 농촌계획
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    • 제19권4호
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    • pp.307-317
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    • 2013
  • The value and functionality of boundary barriers in rural villages have been neglected in the aspects as the buffer zone(boundary barrier) that links between the inside space(housing site) and the outside space(road). On this understanding, this study evaluated conservation value, economical efficiency and durability by the types and materials of the boundary barriers in rural village through Multi-attribute Decision Making. By applying to the current situations of boundary barriers on total 21 case study villages, each factor value was measured. And using Matrix Analysis Technique, the boundary barriers are classified into 4 types and the improvement ways for each type were proposed. As a result, the durability of boundary barriers in rural villages showed similarity value(more than 0.85 out of 1). But economical efficiency of those was low(less than 0.5 out of 1) and those functionalities were very lacking(about 0.3 out of 1). In the conclusion, the maintenance of boundary barriers in rural villages requires the policy that is able to complement conservation value and economical efficiency and is proper to the characteristic of each village. These renewable policies would contribute to the increase of the value of rural amenity as well as creation of economical and social value.

Control of Seesaw balancing using decision boundary based on classification method

  • Uurtsaikh, Luvsansambuu;Tengis, Tserendondog;Batmunkh, Amar
    • International Journal of Internet, Broadcasting and Communication
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    • 제11권2호
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    • pp.11-18
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    • 2019
  • One of the key objectives of control systems is to maintain a system in a specific stable state. To achieve this goal, a variety of control techniques can be used and it is often uses a feedback control method. As known this kind of control methods requires mathematical model of the system. This article presents seesaw unstable system with two propellers which are controlled without use of a mathematical model instead. The goal was to control it using training data. For system control we use a logistic regression technique which is one of machine learning method. We tested our controller on the real model created in our laboratory and the experimental results show that instability of the seesaw system can be fixed at a given angle using the decision boundary estimated from the classification method. The results show that this control method for structural equilibrium can be used with relatively more accuracy of the decision boundary.

전역적 결정트리를 이용한 샷 경계 검출 (Shot Boundary Detection Using Global Decision Tree)

  • 신성윤;문형윤;이양원
    • 한국컴퓨터정보학회논문지
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    • 제13권1호
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    • pp.75-80
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    • 2008
  • 본 논문에서는 프레임들의 차이값으로부터 카메라 브레이크에 의해 발생하는 큰 변화의 폭을 갖는 경계지점을 추출하는 전역적 결정트리를 이용하여 샷 경계를 검출하는 방법을 제시한다. 먼저 지적 $X^2$ 히스토그램과 정규화를 통하여 프레임 간 차이값을 계산하고, 다음으로 차이값간의 거리를 정규화를 통하여 계산한다. 계산된 차이값간의 거리를 바탕으로 전역적 임계치 거리를 계산하여 인접한 두 프레임들에 대한 거리값과 전역적 임계치 거리를 비교하여 샷 경계를 검출한다. 본 논문에서 제시한 전역적 결정트리를 이용하여 객체나 카메라의 움직임과 플래시 라이트와 같은 갑작스런 장면 변화를 쉽게 검출할 수 있다.

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보호지역 경계조정을 위한 공간의사결정지원모델 연구 - 지리산 국립공원을 사례로 - (A Study on the Spatial Decision Making Support Model for Protected Areas Boundary (re)Design -A Case of Jirisan National Park-)

  • 성혜정;권혁수;서창완;박종화
    • 한국환경복원기술학회지
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    • 제14권3호
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    • pp.101-113
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    • 2011
  • The purpose of this study are to develop a SDSS (Spatial Decision Support System) that can incorporate diverse opinions of stakeholders related the designation of protected areas (PA), and to employ the model for the readjustment of the boundary line of the Jirisan National Park of Korea. The SDSS would lead to more rational and less controversial decision-making during the expansion or removal of PA in Korea. Research methods are as follows. Firstly, to select evaluation criteria for SDSS for PA designation by using expert interview and literature survey. Secondly, to measure their preferences on the designation of additional PA or the removal of a part of PA based on the opinions of various stakeholders such as local residents, environmental groups, or public officials. Thirdly, to produce conservation priority maps based on a multi-criteria decision making technique. The SDSS would be used to rational decision making for the expansion of PA or the release of a certain part of PA by reflecting diverse preferences on biodiversity conservation and economic interest of residents. The visualization of conservation priority maps would also increase the efficiency of such decision making processes. The evaluation criteria for the expansion of PA for biodiversity conservation includes vegetation conservation value, wildlife conservation value, and the habitats of key species. The evaluation criteria for the removal of PA includes the proximity to roads and the boundary of PA, land use types, and conservation zoning of the PA. Preference weights are based on data collected from the Jirisan National Park. Both the conservation priority and removal priority maps are based on land parcels so that property rights of all parcels would be correctly represented.